File path or file-like object containing Feather data.
It is used to specify the group name in the HDF5 file from which the data should be read.
It controls whether the function should use multiple threads for parallelized reading of data from a Feather file. This can significantly improve performance when reading large datasets, especially on systems with multiple CPU cores.
import pandas as pd
# Write a DataFrame to Feather
df = pd.DataFrame({'col1': range(100000), 'col2': range(100000)})
df.to_feather('data.feather')
# Read with threading (default)
df1 = pd.read_feather('data.feather', use_threads=True)
print(df1.head())
'''
Output:
col1 col2
0 0 0
1 1 1
2 2 2
3 3 3
4 4 4
'''
Dictionary of storage-specific options, such as credentials for cloud storage.
The dtype_backend parameter is new in Pandas 2.0 which is used to specify the backend for handling the types of data when reading a file.